A paired predictive-plus-measured AI visibility corpus

A paired predictive-plus-measured AI visibility corpus. (1) Measured side: GA4-connected client sites where sessions, purchases and revenue are attributed back to the specific AI model that referred them (ChatGPT, Claude, Gemini, Perplexity, Grok, Copilot, DeepSeek), reported as monthly AI share of traffic, revenue and purchase rate, and ranked per page for the top 50 pages. (2) Predictive side: a large recurring prompt-survey corpus — thousands of category prompts run across every major AI model, scored for how each answer describes, cites and recommends each tracked brand across every stage of the buying cycle. The pairing is the point: the same brands have both what-the-models-would-say labels and what-they-actually-drove outcomes.

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Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativeSentiment

Dataset card

Type: not stated
Format: Tabular (GA4-derived aggregate session, purchase and revenue tables keyed by AI model and by URL; monthly time series) + text (stored AI model answers per prompt with brand mention/citation/recommendation scoring). Explicitly aggregate-level: the product states it uses read-only access to aggregate metrics and no user-level data.
Volume: Per reference account the dashboard shows 10,840 AI sessions, 7.1% AI share and $76,480 AI revenue with 50 tracked pages, implying roughly 150K-160K total sessions per account per period; the prompt side runs 'thousands of category prompts across every major AI model' per client, so with a seven-figure-plus aggregate session base the prompt corpus is the larger artifact at potentially hundreds of thousands of scored prompt-answer pairs
Users: Est. tens to low-hundreds of brand accounts (inferred: one-person company per the provider headcount record, with AI attribution offered free on every dashboard, so the paid base that also connects GA4 is a subset and cannot be large)
History: 2 years
Update frequency: not stated
Growth: Active / very early-stage (AI attribution is bundled free on every dashboard as a growth hook rather than sold separately; the vendor states it maintains a continuously updated mapping of AI referral domains and user agents 'as AI surfaces evolve', which requires ongoing shipping; single-employee company)
Launched: ~2025 (inferred: the product measures AI-assistant referral traffic and AEO prompt scoring, both of which only became measurable in 2025; the provider company record is itself a recent registration, consistent with a 2025 founding)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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